Top Artificial Intelligence Software Engineer Jobs

Build end-to-end features across frontend and backend for the Mem0 platform using Next.js and Python. Design APIs, UIs, backend services, and data models; optimize performance and reliability; write tests and operate production systems; collaborate with design, research, and customers to deliver scalable AI memory product experiences.

Lead the frontend of a proprietary AI platform: design and build reusable components, craft interaction patterns and workflows, prototype and deliver polished, high-performance UI experiences, and maintain platform building blocks for customer projects.

Design and implement code generation features for a heterogeneous AI compiler, optimize low-level target-specific code, apply parallelization and kernel generation techniques, use performance data to guide improvements, and collaborate with product teams to align compiler architecture with ML needs.

Build and ship integrations between Levelpath and enterprise systems (ERP, HRIS, SSO, ticketing, e-signature) using TypeScript/NestJS/Postgres. Lead technical customer calls, debug auth flows, guide GraphQL API adoption, harden data pipelines (validation, retries, idempotency), anchor US-hours on-call, and feed field learnings back into the agent-driven platform and tooling.

Develop and maintain Canvas and model-driven Power Apps, build Power Automate flows, integrate Office 365 and SharePoint Online, connect to Dataverse and premium connectors, and implement basic workflow automation.

Build and scale a live ML data streaming analytics platform, lead greenfield real-time processing projects (Python/Rust), and design reliable backend services using cloud and orchestration tools.

Lead design and operation of the Synapse Everywhere external API platform: define API surface and guarantees, translate product and clinical requirements into contracts, own reliability and on-call incident response, provide technical mentorship and code reviews, and design scalable, secure cloud-native solutions (k8s, LLMs) with strong developer experience.

Design, build, and validate backend systems for graph execution and semantic reasoning. Ensure correctness across ingestion, graph traversal, distributed workflows, and query execution. Implement validation, regression coverage, load and stress tests, and scalability improvements in containerized Kubernetes environments while collaborating with platform and graph engineering teams.

Design, build, and operate backend services and APIs for production systems; support deployments (including on-prem and TS/SCI environments); debug integrations; contribute full-stack features as needed; travel occasionally for customer integrations; improve system reliability and performance.

Develop and maintain HL7/FHIR and DICOM interfaces between the company's AI imaging system and hospital systems. Integrate heterogeneous on-prem and cloud networks, write/review/test code, work with IT teams and vendors, deploy to customer sites, and provide troubleshooting and ongoing maintenance.